113 72

Scale-integrated Network Hubs of the White Matter Structural Network

Title
Scale-integrated Network Hubs of the White Matter Structural Network
Author
이종민
Keywords
HUMAN CEREBRAL-CORTEX; ABNORMAL TOPOLOGICAL ORGANIZATION; GENDER-RELATED DIFFERENCES; BRAIN ANATOMICAL NETWORKS; CORTICAL NETWORKS; MRI DATA; MULTIPLE-SCLEROSIS; ALZHEIMERS-DISEASE; HUMAN CONNECTOME; CONNECTIVITY
Issue Date
2017-05
Publisher
NATURE PUBLISHING GROUP
Citation
SCIENTIFIC REPORTS, v. 7, Article no. 2449
Abstract
The 'human connectome' concept has been proposed to significantly increase our understanding of how functional brain states emerge from their underlying structural substrates. Especially, the network hub has been considered one of the most important topological properties to interpret a network as a complex system. However, previous structural brain connectome studies have reported network hub regions based on various nodal resolutions. We hypothesized that brain network hubs should be determined considering various nodal scales in a certain range. We tested our hypothesis using the hub strength determined by the mean of the "hubness" values over a range of nodal scales. Some regions of the precuneus, superior occipital gyrus, and superior parietal gyrus in a bilaterally symmetric fashion had a relatively higher level of hub strength than other regions. These regions had a tendency of increasing contributions to local efficiency than other regions. We proposed a methodological framework to detect network hubs considering various nodal scales in a certain range. This framework might provide a benefit in the detection of important brain regions in the network.
URI
https://www.nature.com/articles/s41598-017-02342-7https://repository.hanyang.ac.kr/handle/20.500.11754/113960
ISSN
2045-2322
DOI
10.1038/s41598-017-02342-7
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
Files in This Item:
Scale-integrated Network Hubs of the White Matter Structural Network.pdfDownload
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE